import pandas as pd

# Hyper Parameters
BATCH_SIZE = 64
EPOCHS = 300
LR = 1e-4

EPSILON = 1e-6
IMAGE_SIZE = (448, 448)

# Model Parameters
S = 7   # Grid Cells
B = 2   # Number of bounding boxes per grid cell
C = 20  # Number of Classes

classes = pd.read_csv ("./datasets/classes.csv")

if __name__ == '__main__' :
    print (f"batch-size : {BATCH_SIZE}\n"
           f"epochs : {EPOCHS}\n"
           f"learning rate : {LR}\n"
           f"img size : {IMAGE_SIZE}\n"
           f"grid cells : {S}\n"
           f"bboxes per grid cell : {B}\n"
           f"class number : {C}\n"
           f"{classes.iloc[:, 0]}")